Data Science: What is it Worth? Calculating ROI for Your Investment in Data

Prove the Value of Data.

When it comes to ROI, it always seems to be easier said than done. The reality of measuring the return on investments in data teams and projects -and especially for data tools and technologies -can be particularly challenging.

The goal of this white paper is to address and alleviate some of these challenges for an easier path to providing a clear ROI for your data efforts, ultimately unlocking additional support from leaders and other teams in the company that will provide continued fodder for a thriving data culture.

In this guidebook, you'll find:

A look at why ROI calculation specifically for data efforts is challenging, and how today's companies address it.

A breakdown of the different approaches real companies use today to calculate data science ROI.

Three worksheets walking through different examples of ROI calculation.

Advice for increasing ROI on data science, machine learning, and artificial intelligence (AI) investments for continued support into the future.